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Informatique et Mathématiques appliquées
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> Formation > Cursus ingénieur

Human in the Loop - WMM9MO68

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  • Number of hours

    • Lectures : 36.0
    • Tutorials : -
    • Laboratory works : -
    • Projects : -
    • Internship : -
    • Written tests : -
    ECTS : 6.0
  • Officials : Francois BERARD, Celine COUTRIX

Goals

Objective

This course studies human-computer interaction (HCI) with a focus on increasing the communication bandwidth between users and computers. As computers’ input/output (I/O) bandwidth seems to be unlimited, the HCI bottleneck resides on the human side : users have strong limitations regarding what they can perceive and what they can do in a given amount of time. For this reason, the computer interface must be designed to optimize the human I/O bandwidth. This course studies human sensorimotor capabilities with the goal to inform the HCI bandwidth optimization process.
Lectures

Current knowledge on human sensorimotor capabilities.
Modeling the interaction between users and computers.
Measuring users to computers bandwidth with Fitts’ law.

Project

Students work in groups of 2 during the whole semester on an HCI study. They choose a bandwidth evaluation problem with the interaction of their choice (moderated by the professors), they propose an experimental protocol to measure the bandwidth, run the experiment, and they present their results to the class at the end of the semester.

Content

Description

This course presents an overview of the different approaches available for researchers and practitioners to bring the human in the loop of a computing systems. Among these approaches, to bring the human in a system design cycle, the following methods will be studied during the course: Qualitative (focus groups, ethnography, in situ observations, interviews, etc.) and quantitative (questionnaires, correlational observations, experiments, etc.) Corresponding analysis methods will be studied, which includes statistics.
Lectures

Qualitative methods, e.g.:

Focus groups,
Ethnography,
In situ observations,
Interviews, among them contextual interviews.

Quantitative methods, e.g.:

Questionnaires, such as NASA TLX, SUS and UMUX,
Correlational observations,
Experiments, among them perception studies (e.g., just noticeable differences) to evaluate the performance of algorithms compared to humans capabilities,

Open science practices (consent forms, registration, etc.)
Project

First, the students will, in groups of 2, prepare a course where they will present a method to perform study involving users. Students need to explain the method + present its limits and how to analyse the resulting collected data. Background material might be provided by the teacher(s). Second, the students, in groups of 2, will conduct a user study and perform the following steps: forming an hypothesis, collecting appropriate data to answer the hypothesis, and analyse the data to conclude on the hypothesis. Research question might be provided by the teacher(s).

Tests

Session 1: Project (100%)
Session 2: The project grade is kept (50%) + oral exam 30min (50%)

Session 1: Project (100%)
Session 2: The project grade is kept (50%) + oral exam 30min (50%)

The exam is given in english only FR

Calendar

The course exists in the following branches:

  • Curriculum - Master in Computer Science - Semester 9 (this course is given in english only EN)
see the course schedule for 2022-2023

Additional Information

Course ID : WMM9MO68
Course language(s): FR

You can find this course among all other courses.

Bibliography

S. Card, T. P. Moran, and A. Newell. The Psychology of Human-Computer Interaction. Lawrence Erlbaum Associates, 1983.
David W. Martin, Doing Psychology Experiments, Cengage Learning Editors, ISBN: 0495115770, 9780495115779
Paul Cairns, Doing Better Statistics in Human-Computer Interaction, Cambridge University Press, Online ISBN: 9781108685139
Karen Holtzblatt, Jessamyn Burns Wendell, Shelley Wood, Rapid Contextual Design: A How-to Guide to Key Techniques for User-Centered Design, Morgan Kaufmann, ISBN: 9780123540515

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Date of update September 21, 2022

Université Grenoble Alpes